搭建日志分析系统ELK(elasticsearch+logstash+kibana+filebeat)

 

首先下载ELK 在官网下载：https://www.elastic.co/cn/downloads/

如果下载比较慢的同学可以加我Q.我这有下载好的文件。能够分享给你。

这里咱们的环境使用ubuntu 16.04。我这是在虚拟加搭建的。

es日志存储

logstash 采集转换输入 输出

filebeat 日志实时洞察  相关具体介绍可以观看 ：  https://www.elastic.co/cn/beats/filebeat   

kibana 展示控制面板 让你的使用更加方便

 

软件版本：

 一、安装es

解压 ES

tar -zxvf elasticsearch-7.7.1.tar.gz

进入文件夹config 修改 /elk/elasticsearch-7.7.1/config$ vim elasticsearch.yml

修改如下：

配置data目录时别忘了建文件夹data

# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
#       Before you set out to tweak and tune the configuration, make sure you
#       understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further information on configuration options:
# https://www.elastic.co/guide/en/elasticsearch/reference/index.html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: elk-test
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-1
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
path.data: /home/hcy/elk/elasticsearch-7.7.1/data
#
# Path to log files:
#
path.logs: /home/hcy/elk/elasticsearch-7.7.1/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 192.168.1.129
#
# Set a custom port for HTTP:
#
http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when this node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
#discovery.seed_hosts: ["host1", "host2"]
#
# Bootstrap the cluster using an initial set of master-eligible nodes:
#
#cluster.initial_master_nodes: ["node-1", "node-2"]

cluster.initial_master_nodes: ["node-1"]

# For more information, consult the discovery and cluster formation module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true

启动bin 文件下的

hcy@ubuntu:~/elk/elasticsearch-7.7.1/bin$ ./elasticsearch &

页面访问 http://192.168.1.129:9200

看看能不能访问到就行了。

至此安装es完成

 

常见问题解决：

1.    报错：

ERROR: bootstrap checks failed max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

首先切换到root 下

root@ubuntu:/home/hcy# vim /etc/sysctl.conf 

添加这一句：

m.max_map_count=655360

 

root@ubuntu:/home/hcy# sysctl -p
vm.max_map_count = 655360

 

切换回去用户。。。。。

 2.    报错：

ERROR: [1] bootstrap checks failed [1]: the default discovery settings are unsuitable for production use; at least one of [discovery.seed_hosts, discovery.seed_providers, cluster.initial_master_nodes] must be configured

解决办法：配置文件这句放开，改成如下：

cluster.initial_master_nodes: ["node-1"]

 

 二、 安装Logstash

1.解压logstash tar包

tar -zxvf logstash-7.7.1.tar.gz

2.运行logstash最基础的pipeline

bin/logstash -e 'input { stdin { } } output { stdout {} }'

-e：可以直接用命令行配置，无需使用文件配置。当前pipeline从标准输入获取数据stdin，并把结构化数据输出到标准输出stdout。

Pipeline启动之后，控制台输入hello world，可看到对应输出。

3. 安装logstash-input-beats插件

hcy@ubuntu:~/elk/logstash-7.7.1$ ./bin/logstash-plugin install logstash-input-beats


Validating logstash-input-beats
Installing logstash-input-beats
Installation successful

 4.创建pipeline配置文件logstash.conf，配置端口5044监听beats的连接，并创建elasticsearch索引。

如图：下面代码

input {
  beats {
    port => 5044
  }
}

output {
  elasticsearch {
    hosts => "192.168.1.129:9200"
    manage_template => false
    index => "%{[@metadata][beat]}-%{[@metadata][version]}-%{+YYYY.MM.dd}"
    document_type => "%{[@metadata][type]}"
  }
}

 

5.启动logstash服务

./bin/logstash -f config/logstash.conf &

输出：

 

三、安装Kibana

3.1解压kibana tar包

tar -zxvf kibana-7.7.1-linux-x86_64.tar.gz

•  

 3.2. 修改kibana配置

进入config文件夹 修改

hcy@ubuntu:~/elk/kibana-7.7.1-linux-x86_64/config$ vim kibana.yml 

# kibana地址
server.host: "192.168.1.129"
# elasticsearch地址
# elasticsearch.url: "http://192.168.1.129:9200"
elasticsearch.hosts: ["http://192.168.1.129:9200"]

3.3.启动kibana服务

./bin/kibana &

 输出

访问 192.168.1.129:5601 

能看到界面

 

 你也可以使用一下 example 数据看一眼

很多的哦

 

 

四、 安装Filebeat

 

1.解压filebeat tar包

tar -zxvf filebeat-7.7.1-linux-x86_64.tar.gz

2.配置filebeat

我们这里输出到logstash，需要添加logstash信息，注释elasticsearch信息

hcy@ubuntu:~/elk/filebeat-7.7.1-linux-x86_64$ vim filebeat.yml

filebeat.prospectors:
- type: log
  enabled: true
  paths:
- /opt/apps/elk/*.log



#output.elasticsearch:
  #hosts: ["localhost:9200"]
output.logstash:
  hosts: ["192.168.1.129:5044"]

3.启动filebeat

./filebeat -e -c filebeat.yml -d "publish" &
 

输出：跑起来就可以。

 至此咱们这套ELK系统搭建完毕！！